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$160,000.00/yr - $200,000.00/yr Direct message the job poster from Harnham Recruitment Consultant - Data Science | ML | AI
Title:
Lead Data Engineer Location:
Houston, TX Compensation:
$160,000-$200,000 base + 25% bonus Employment Type:
4 Days on-site A fast-evolving organization is seeking a Lead Data Engineer to spearhead cloud-native data architecture efforts within a growing enterprise initiative. This is a highly visible technical leadership role, responsible for designing and scaling modern data platforms based on Databricks Lakehouse and Medallion Architecture principles. Youll serve as the technical authority across cloud data engineering practices, guide the transition away from legacy platforms, and lead a Data Management Community of Practice (CoP) to drive innovation across engineering and business teams. What Youll Do Architect and implement modern, scalable cloud-based data pipelines across Bronze, Silver, and Gold lakehouse layers Lead efforts in Databricks Lakehouse environments and design end-to-end ingestion, transformation, and optimization workflows Build robust integration pipelines using tools such as Apache Spark, Kafka, Airflow, Fivetran, and native AWS services Act as the primary facilitator of the data engineering CoP, promoting best practices, technical growth, and standards adoption Collaborate cross-functionally with data science, analytics, and business stakeholders to align infrastructure to business goals Optimize data governance, lineage, security, and quality in a high-scale, real-time environment Provide architectural oversight, troubleshoot performance issues, and guide adoption of modern data tools and frameworks What You Bring 5+ years of experience in
data engineering , with leadership roles in cloud-native or lakehouse environments Strong track record with
Databricks Lakehouse , including Medallion layer implementation Advanced proficiency in
AWS cloud services
(S3, EC2, RDS, Lambda) and big data tooling (Apache Spark, Kafka, Hadoop) Hands-on development using
Python, SQL, and/or Scala
for production-grade pipelines Familiarity with
CI/CD workflows , modern DevOps for data, and structured data modeling Experience leading or facilitating technical communities of practice is highly preferred Excellent communication skills with strong executive presence Bachelor's or Master's degree in Computer Science, Engineering, or similar Certifications in
Databricks, AWS , or DAMA CDMP are a plus Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
Engineering and Analyst Industries
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